The AI operates by running a secure event listener on EHR APIs and applying AI agents trained on clinical protocols and historical data. This approach focuses on real-time intervention, unlike other tools that detect errors post-claim submission, leading to reactive problem-solving. While the AI flags potential errors for human review, minimizing health-critical risks, the team acknowledges the challenge of false positives potentially wasting staff time. Currently, WorkDone is in the pilot phase, operating in read-only mode to refine its system and seeking feedback from the healthcare community, particularly from rehabs, small clinics, and hospitals interested in testing the AI.
Key takeaways:
- WorkDone is an AI product designed to audit medical documentation in real-time to prevent errors that could lead to treatment mistakes or denied insurance claims.
- The solution integrates AI agents with EHR/EMR systems to monitor records and flag potential errors for immediate human review and correction.
- The focus of WorkDone is on near-real-time intervention, distinguishing it from other AI tools that detect errors post-claim submission.
- The team is seeking feedback from the community and early users, particularly from rehabs, small clinics, and hospitals, to refine their system.